9 papers
A Unified Model for Cross-Domain Clone Detection via Model Merging
Palash R. Roy, Banani Roy, Kevin A. Schneider +1
The growing diversity of code clone types, from syntactic copies to cross-language semantic clones to AI-generated duplicates, has created a fragmentation crisis in clone detection…
MergeSE: Post-Hoc Model Merging for Software Engineering Tasks Without Retraining
Palash R. Roy, Banani Roy, Kevin A. Schneider +1
Fine-tuned code models often behave as domain specialists and can degrade sharply under distribution shift: in our clone-detection setting, a model trained on same-language clones…
Carbon-Taxed Transformers: A Green Compression Pipeline for Overgrown Language Models
Ajmain Inqiad Alam, Palash Roy, Chanchal K. Roy +2
The accelerating adoption of Large Language Models (LLMs) in software engineering (SE) has brought with it a silent crisis: unsustainable computational cost. While these models dem…
XMENTOR: A Rank-Aware Aggregation Approach for Human-Centered Explainable AI in Just-in-Time Software Defect Prediction
Saumendu Roy, Banani Roy, Chanchal Roy +1
Machine learning (ML)-based defect prediction models can improve software quality. However, their opaque reasoning creates an HCI challenge because developers struggle to trust mod…
Are Classical Clone Detectors Good Enough For the AI Era?
Ajmain Inqiad Alam, Palash Roy, Farouq Al-omari +3
The increasing adoption of AI-generated code has reshaped modern software development, introducing syntactic and semantic variations in cloned code. Unlike traditional human-writte…
An Empirical Investigation on the Challenges in Scientific Workflow Systems Development
Khairul Alam, Banani Roy, Chanchal K. Roy +1
Scientific Workflow Systems (SWSs) are advanced software frameworks that drive modern research by orchestrating complex computational tasks and managing extensive data pipelines. T…